Results 51 to 60 of about 5,416,756 (285)

Heteroengineering‐Induced Electronic Reconstruction for Ammonium‐Ion Energy Storage

Advanced Functional Materials, EarlyView.
An integrated electronic reconstruction behavior is induced by local heteroengineering on VO2(B) electrode material surface of NH4+ supercapacitor, rationally modulating the electronic structure, enabling enhanced intrinsic conductivity and extra driving force for NH4+ intercalation reaction.
Ji‐Chi Liu, Nuo Xu, Liberty L. Mguni, Kexin Wang, Lanxiang Ma, Ying Sun, Hui Li, Lingfeng Zhu, Yali Yao, Xu Han, Zi‐Hang Huang, Tianyi Ma   +11 more
wiley   +1 more source

Applying explainable artificial intelligence and ensemble boosting based machine learning models in predicting the thermal conductivity of nano enhanced phase change materials

Next Materials
This study attempts the integration of explainable artificial intelligence and ensemble boosting based machine learning framework (XAI-EBBML-F) in predicting the thermal conductivity of nano enhanced phase change materials (NePCMs).
G. Manikandan, S. Senthil Kumar, M. Sridharan   +2 more
doaj   +1 more source

Wavelet-based gradient boosting

, 2016
© 2014, Springer Science+Business Media New York. A new data science tool named wavelet-based gradient boosting is proposed and tested. The approach is special case of componentwise linear least squares gradient boosting, and involves wavelet functions ...
Wand, MP, Dubossarsky, E, Ormerod, JT, Friedman, JH   +3 more
core   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Bagging and boosting classification trees to predict churn. [PDF]

In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms
Croux, Christophe, Lemmens, Aurélie
core   +2 more sources

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

Advanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti, Sergio Martínez‐Saiz, Morena Cervino, Edoardo Stanzani, Sandra Jenatsch, Qingsen Zeng, Joo Sung Kim, Dong‐Hyeok Kim, Eojin Yoon, Tae‐Woo Lee, Daniel Tordera, Henk J. Bolink   +11 more
wiley   +1 more source

A hybrid CFD and machine learning study of energy performance of photovoltaic systems with a porous collector: Model development and validation

Case Studies in Thermal Engineering
This study investigates the predictive modeling of temperature (T(K)) using a dataset of over 128,000 data points characterized by x, y, and z coordinates as inputs.
Yinling Wang, Lei Yu, Mazhar Ali, Imran Ali Khan, Tahir Maqsood, Haining Gao, Qi Wang, Xiaolei Guo   +7 more
doaj   +1 more source

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

Advanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis, Filip Aniés, Yiyang Yu, Mohammed Ghadiyali, Hendrik Faber, Zhanibek Bizak, Youssef Kabri, Pavlos Tzourmpakis, Suman Mandal, Linqu Luo, Temur Maksudov, Mohamad Insan Nugraha, Harold F. Mazo‐Mantilla, Patrice Vanelle, Julie Broggi, Khaled N. Salama, Udo Schwingenschlögl, Martin Heeney, Atif Shamim, Thomas D. Anthopoulos   +19 more
wiley   +1 more source

Ensemble of fast learning stochastic gradient boosting

, 2019
Boosting is one of the most popular and powerful learning algorithms. However, due to its sequential nature in model fitting, the computational time of boosting algorithm can be prohibitive for big data analysis.
Yu, Qingzhao, Peng, Lu, Li, Bin
core   +2 more sources

Gradient boosting-based classification of interactome hub genes in periimplantitis with periodontitis – an integrated bioinformatic approach

Frontiers in Oral Health
IntroductionPeri-implantitis, a destructive inflammatory condition affecting the tissues surrounding dental implants, shares pathological similarities with periodontitis, a chronic inflammatory disease that impacts the supporting structures of natural ...
Pradeep Kumar Yadalam, Sarvagya Sharma, Prabhu Manickam Natarajan, Carlos M. Ardila   +3 more
doaj   +1 more source